Soil erosion modelling in a Hungarian Mexican context
|
|
- Kory Summers
- 8 years ago
- Views:
Transcription
1 A Magyar Állami Földtani Intézet Évi Jelentése, Soil erosion modelling in a Hungarian Mexican context Talajerózió modellezése hazai és mexikói területeken CSABA CENTERI 1, GILBERTO HERNÁNDEZ SILVA 2, GERGELY JAKAB 3, GÉZA GELENCSÉR 1,4 1 Szent István University, Gödöllő, Inst. of Environmental and Landscape Management, Dept. of Nature Conservation and Landscape Ecology, 2103 Gödöllő, Páter K. utca 1., Hungary 2 Centro de Geociencias, Campus UNAM-Juriquilla, Qro. Mexico 3 Geographical Research Institute, Hungarian Academy of Sciences, Hungary 4 Vox Vallis Development Association, Hungary Centeri.Csaba@kti.szie.hu Keywords: soil loss, soil erosion, soil erosion modelling, WEPP, USLE Abstract Soil water erosion is a well known phenomenon. We know enough to protect our valuable soils against many forms of soil degradation but there is always new ways of searching for more exact descriptions of processes causing soil and nutrient losses. In the present paper authors have chosen Hungarian and Mexican research sites to investigate the results of using the WEPP and the USLE models for soil loss calculations. In international literature, USLE is widely cited as a model overestimating soil loss. In the examined Hungarian and Mexican slopes we can state that each model performed with various results. There were cases where WEPP calculated no soil loss where USLE did but there were cases where WEPP calculated more soil loss than USLE. The importance of such soil loss modelling is that each model running has something to explain, teaching us how to improve our models. On the other hand, using more than one model highlight the importance of the lack of information for model inputs. These modelling can improve our knowledge on soil loss calculation and thus the used models, too. Kulcsszavak: talajveszteség, talajerózió, talajerózió modellezés, WEPP, USLE Kivonat A talajerózió jól ismert jelenség. Eleget tudunk róla, hogy megvédjük értékes talajainkat a talajdegradáció sokféle formájától, de mindig van olyan új kutatási terület, amely segít a talaj és tápanyagveszteség folyamatainak pontosabb leírásában. A jelenlegi munkában a szerzők hazai és mexikói mintaterületeken értékelik a WEPP és az USLE modell használatának eredményeit. A nemzetközi szakirodalomban az USLE modellt gyakran vádolják a talajveszteség túlbecslésével, ugyanakkor a vizsgált magyar és mexikói területeken azt állapítottuk meg, hogy a modellek különböző eredményekkel szolgáltak. Volt olyan eset, amikor a WEPP modell nem számolt talajveszteséggel, míg az USLE igen, de volt olyan eset is, amikor a WEPP több veszteséggel kalkulált, mint az USLE. Az ilyen modellezések fontossága abban rejlik, hogy minden modellfuttatás megmagyaráz valamit, segít bennünket a modellek fejlesztésében, javításában. Másrészről több modellel történő elemzés felhívja a figyelmet a modellek bemeneti paramétereinek adathiányára is. Ezek a modellezések javítják ismereteinket a talajveszteség számításának és a modellek használatának területén is. Introduction Empirical soil erosion models continue to play an important role in soil conservation planning and environmental evaluations around the world (LIU et al. 2000). Soil erosion is a serious problem on agricultural fields of Hungary and Mexico, too. In the hilly areas precipitation is between 600 and 800mm/year. Even the relatively low intensity rainfalls are causing gullying and rills. The crop rotation structure does not favour soil protection, contains a high percentage of medium or low soil protection crop (CENTERI 2002, SZILASSI et al. 2006). Soil and nutrient loss, runoff and sediment yield calculations (JAKAB, SZALAI 2005), model comparisons (CENTERI et al.
2 132 CSABA CENTERI et al. 2009) are important in protecting our (still) valuable arable lands. In Mexico, erosion reaches a much higher extent since climate and topography are affecting it much more. Various soil erosion models were used to evaluate the rate of soil loss. EUROSEM model was evaluated in Costa Rica, Nicaragua and Mexico (VEIHE et al. 2001). COTLER, ORTEGA-LARROCEA (2006) examined the effects of land use on soil erosion in a Mexican dry forest ecosystem. Eurosem model has been used in Hungary as well (BARTA et al. 2004). LAROSE et al. (2004) used the WEPP model in the Tuxtlas, Veracruz, Mexico and found that soil erodibility parameters, effective hydraulic conductivity, crop and management parameters have to be studied and modified because the model is very sensitive for these parameters. Examination of soil parameters are essential to educate farmers for better management practices in order to save nutrients, soils, money, time and to protect the environment (JORDAN et al. 2005). Soil and nutrient loss are calculated in erosion models all over the world (GOURNELLOS et al. 2004), especially in connection with arable cultivation. Material and methods Description of the Mexican sites The Sierra Gorda is part of the geological province of the Sierra Madre Oriental, composed of numerous marine Mesozoic formations deformed and folded during the Laramian orogeny. The Mesozoic rocks are almost 100% outcrops in the area. The erosion of these rocks has been shaped the region with physiographic and the morphological features that characterize it, and it is marked by the stark contrast between high peaks whose summits exceed the 3,000m of altitude and deep depressions where the main stream are at an altitude of 900m. In the region there is an array of Mesozoic marine formations, of Jurassic and Cretaceous types, as well as Cenozoic formations of the continental origin. In the Mesozoic marine formations outcrop both Jurassic and Cretaceous in the area and in the same manner, Cenozoic formations of continental origin. The former are by far the most abundant and they account for almost all of the outcrops. The stratigraphic relationship between both constitutes a significant angular discordance. The Mesozoic rocks form the structural framework of the Sierra Gorda. They represent very large, powerful and thick formations that extend for hundreds of kilometres with a SE NW orientation. The most important tectonic structures in the Sierra Gorda in general and the San Joaquin in particular, are large anticlinal and synclinal folds at regional scales that have a general NW SE orientation. Chromic Luvisols, Chromic Cambisols and Leptosols are the dominant soils in this rugged area. There exist a variety of climates: from wet-temperate (2000 to 3000m); semi-dry (1500 to 2000m) and sub-tropical (900 to 1500m). The particular area under study has a yearly rain average of 700mm. The natural vegetation embraces: temperate forest (pine, cedar, oak), dry-bush and sub-tropical bush. Crops/ fruits: maize, bean, apple tree, peach tree, avocado, mango. Situation of the examined sites are on Figure 1, Table 1. Figure 1. Situation of the Mexican sites on Google Earth Map 1. ábra. A mexikói mintaterületek elhelyezkedése a Google Earth térképen Table 1. Basic geographical parameters of the examined Mexican sites 1. táblázat. A mexikói területek alapvető földrajzi jellemzői 1 = Chromic Cambisol (FAO, 2006), 2 = Chromic Luvisol, 3 = Temporal agriculture (no irrigation), 4 = Temporal agriculture (no irrigation) & apple tree orchard. Particle size analyses followed the method of BOUYOUCUS (1936). Soil organic matter was measured by the method of WALKLEY (1947) (Table 2 and 3). The average yearly precipitation in the region is 700 mm. Table 2. Basic soil parameters for erosion modelling on the Mexican sites 2. táblázat. Alapvető talajtani paraméterek a mexikói területek eróziós modellezéséhez 1 = Chromic Cambisol (FAO, 2006), 2 = Chromic Luvisol.
3 Soil erosion modelling in a Hungarian Mexican context 133 Table 3. Input parameters for modeling with WEPP model on the Mexican sites 3. táblázat. Bemeneti paraméterek a WEPP modell használatához a mexikói területeken For soil erosion modelling we need to introduce the most important input parameters for the examined sites. Basic geomorphological parameters of the Hungarian sites In order to find the exact location of the Hungarian sites coordinates and altitude is given in Table 4. Slope length, slope angle and land use are important input parameters for soil erosion modeling, those are given in Table 4, too. Basic soil parameters of the Hungarian sites can be seen in Table 5. *at 96. min. Description of the Hungarian sites The Gerézdpuszta area Gerézdpuszta belongs to the Külső-Somogy hilly area, south of the World famous Balaton Lake. The hilly landscape was formed by the tectonic movements and loess formation. On the clay and sand sediment of the Pannonian Sea there were m fluvial sediment settled. Valley density reaches 8 10 per square km, plateaus between the valley are only m wide. Koppány Creek played an important role in soil formation. In the valley we find fluvial meadow soils. Parent material is glacial and fluvial sediment. Soil texture is mainly loamy with illite and smectite clay minerals. Hydrological properties are good, soil organic carbon content used to be t/ha with 100cm soil depth but it has undergone severe erosion (see the Gerézdpuszta site on Figure 2), soil organic content reduced dramatically. These soil characteristics are partly identical to the brown forest soils situated on the hillsides. Climatic conditions are changing; originally continental and Sub-Mediterranean climate was mixed; now we find it less continental and more Mediterranean. The average yearly precipitation is approximately 640mm. There are cold spots where temperature often falls 30 C below zero and maximum is above 35 C. Table 4. Basic geographical parameters of the examined Hungarian sites 4. táblázat. A vizsgált hazai területek alapvető földrajzi jellemzői G = Gerézdpuszta, ISA = Isaszeg, UTS = Upper Third of the Slope, MTS = Middle Third of the Slope, LTS = Lower Third of the Slope. Table 5. Basic soil parameters for erosion modeling on the Hungarian sites 5. táblázat. Alapvető talajtani paraméterek a hazai területek eróziós modellezéséhez G = Gerézdpuszta, ISA = Isaszeg, UTS = Upper Third of the Slope, MTS = Middle Third of the Slope, LTS = Lower Third of the Slope, SOM = Soil Organic Matter, CEC = Cation Exchange Capacity. WEPP and USLE models were used to predict soil loss and sediment yield (the later is only with the WEPP model) on the examined areas. Modelling with WEPP and USLE models on Hungarian and Mexican sites Figure 2. Situation of the Hungarian sites within Europe 2. ábra. A magyar területek elhelyezkedése Európában The well-known USLE (WISCHMEIER, SMITH 1978) and WEPP (FLANAGAN et al. 2007) models were used for the
4 134 CSABA CENTERI et al. analyses. The Water Erosion Prediction Project (WEPP) was started in Its purpose was to develop new-generation water erosion prediction technology, originally (as well as the USLE) for use in the USA. The WEPP model was developed by the USDA-ARS to replace empirically based erosion prediction technologies, such as USLE, RUSLE, MUSLE. The WEPP model simulates many of the formerly missing physical processes important in soil erosion (e.g. infiltration, runoff, raindrop and flow detachment, sediment transport, deposition, plant growth, and residue decomposition) as input parameters. The WEPP project is similar to USLE because it was constructed based on extensive field experimental program (on cropland, rangeland and disturbed forest sites). Sufficient amount of data was needed to parameterize and test the model. The model became functional with the cooperation of research locations, laboratories and universities. The WEPP model can be used on hill slopes and on smaller watersheds. The model can be used with Microsoft Windows operating system graphical interfaces, web-based interfaces, and integration with Geographic Information Systems since Watershed channel and impoundment components, Cligen weather generator, the daily water balance and evapotranspiration routines, and the prediction of subsurface lateral flow along low-permeability soil layers was developed and continuously improved (CHAVES, NEARING 1991, RISSE et al. 1994, FLANAGAN et al. 2007, DEER- ASCOUGH et al. 1995, GRISMER 2007, MOFFET et al. 2007, KIM et al. 2007, BONILLA et al. 2007). WEPP is widely used for soil loss calculations (PANDEY et al. 2008, SHEN et al. 2009, IRVEM et al. 2007, BAIGORRIA, ROMERO 2007). Results Results of modelling with WEPP model for the Mexican sites runoff rate were both higher than on site S 43 but there was no soil loss and sediment yield proposed by the model. On site S 19 and S 57 there were almost the same runoff volume and peak runoff rate calculated but the amount of soil loss was 5 times more in site S 57 than on site S 19. Another interesting result was that while on site S 19 both runoff volume and peak runoff rate were 3 to 5 times more than on site S 43, the amount of soil loss was bigger on site S 43, regardless of its shorter slope length. USLE did not calculate soil loss in that wide range as WEPP did and it had calculated a small amount of soil loss for site S 44 as well, while WEPP had not (Table 7.). Table 7. Results of soil erosion modelling with the USLE model on the Mexican sites 7. táblázat. Az USLE modellel történő elemzés eredményei a mexikói területeken R = rainfall erosivity, K = soil erodibility, LS = slope length and steepness, C = cover management factor, P = protection measures. Comparison of soil loss calculations and the differences between them can be seen in Table 8. USLE calculated more soil loss for sites S 19 and S 44 and less for sites S 43 and S 57. Table 8. Comparison of soil loss calculation with USLE and WEPP models for the Mexican sites 8. táblázat. Az USLE és a WEPP modellel történő elemzések összehasonlítása a mexikói területeken Modelling with WEPP resulted with varying runoff volumes and soil loss amounts. While runoff volumes varied from 10.3 to 55.22mm, soil loss varied from none to 0.234kg/m 2 (Table 6). On site S 44 runoff volume and peak Table 6. Results of soil erosion modeling with the WEPP model on the Mexican sites 6. táblázat. A WEPP modellel történő elemzések eredményei a mexikói területeken Results of modeling with WEPP and USLE models for the Hungarian sites Results for Gerézdpuszta sites *at 100m, **at 150m. The results of soil loss calculations for the Gerézdpuszta sites with USLE model can be found in Table 9. Soil loss values decrease dramatically from the upper to the lower slope thirds. The results of soil loss calculations with WEPP model (GELENCSÉR et al. 2010) can be found in Tables
5 Soil erosion modeling in a Hungarian Mexican context 135 Table 9. Input parameters and results of the simulation with the USLE model, Gerézdpuszta, Hungary 9. táblázat. Az USLE modell bemeneti paraméterei és az elemzés eredményei Gerézdpusztán *in this special case, since the calculation is for one rainfall event, this is erosivity index, C and P factors = 1. Table 10. Results of the simulation with the WEPP model for the upper slope third, Gerézdpuszta, Hungary 10. táblázat. A WEPP modellel történő elemzések eredményei a lejtő felső harmadán Gerézdpusztán Table 11. Results of the simulation with the WEPP model for the middle slope third, Gerézdpuszta, Hungary 11. táblázat. A WEPP modellel történő elemzések eredményei a lejtő középső harmadán Gerézdpusztán
6 136 CSABA CENTERI et al. Table 12. Results of the simulation with the WEPP model for the lower slope third, Gerézdpuszta, Hungary 12. táblázat. A WEPP modellel történő elemzések eredményei a lejtő alsó harmadán Gerézdpusztán Tables show that a not too big rainfall event, arriving on the area with bad timing (no surface cover) can cause 10 t ha 1 soil loss. Results for Isaszeg sites The results of soil loss calculations for the Isaszeg sites (DEMÉNY et al. 2010) with USLE model can be found in Table. 13. loss for the upper third No.1. and No 2 while WEPP calculates higher values for the middle slope section. Each model calculates almost no erosion for the lower slope third. The overall comparison of the Hungarian sites shows that WEPP dramatically overestimate soil loss compared to USLE at the Gerézdpuszta sites and at the middle and lower slope sections of the Isaszeg sites (Table 18). Table 13. Input parameters and results of the simulation with the USLE model, Isaszeg, Hungary 13. táblázat. Az USLE modell bemeneti paraméterei és az elemzés eredményei Isaszegen *in this special case, since the calculation is for one rainfall event, this is erosivity index, C and P factors = 1. The results of soil loss calculations with WEPP model can be found in Tables Comparing the results of USLE (Table 13) and WEPP (Tables 14 17) we can state that USLE calculates more soil USLE calculate less soil loss than WEPP at the upper slope thirds of the Isaszeg sites. Differences are explained by the high clay content and the low infiltration rate of the lower third of the slope at the Gerézdpuszta site.
7 Soil erosion modeling in a Hungarian Mexican context 137 Table 14. Results of the simulation with the WEPP model for the upper slope third No.1., Isaszeg, Hungary 14. táblázat. A WEPP modellel történő elemzések eredményei a lejtő felső harmadán (1) (ISA-UTS1) Table 15. Results of the simulation with the WEPP model for the upper slope third No.2., Isaszeg, Hungary 15. táblázat. A WEPP modellel történő elemzések eredményei a lejtő felső harmadán (2) (ISA-UTS2)
8 138 CSABA CENTERI et al. Table 16. Results of the simulation with the WEPP model for the middle slope third, Isaszeg, Hungary 16. táblázat. A WEPP modellel történő elemzések eredményei a lejtő középső harmadán Table 17. Results of the simulation with the WEPP model for the lower slope third, Isaszeg, Hungary 17. táblázat. A WEPP modellel történő elemzések eredményei a lejtő alsó harmadán
9 Soil erosion modeling in a Hungarian Mexican context 139 Table 18. Comparison of soil loss calculations with the USLE and WEPP models at the Gerézdpuszta and Isaszeg sites, Hungary 18. táblázat. Az USLE és a WEPP modellekkel történő talajveszteség-számítások összehasonlítása a gerézdpusztai és az isaszegi területeken Conclusions The empirical USLE model is known to generally overestimate soil loss in many parts of the world. In the presently tested cases on Mexican and Hungarian sites we can state that overestimation of USLE is not the only case and WEPP model tends to overestimate soil loss, too. In case of the Gerézdpuszta site the reason of overestimation at the third of the slope was found to be in the higher clay content of this slope portion but it is not always easy to find any obvious reason for differences in model outputs. Further and detailed comparisons of model behaviour (e.g. CENTERI et al. 2009) in different climatic conditions are important to provide more details and data for model users and decision makers, too. References Irodalom BAIGORRIA G. A., ROMERO, C. C. 2007: Assessment of erosion hotspots in a watershed: integrating the WEPP model and GIS in a case study in the Peruvian Andes. Environmental Modelling Software 22 (8), pp BARTA K., JAKAB G., BÍRÓ ZS., CSÁSZÁR A. 2004: A EUROSEM modell által becsült lefolyási és talajveszteségi értékek összehasonlítása terepi mért értékekkel. II. Magyar Földrajzi Konferencia kiadványa, Szeged (CD) BONILLA, C. A., NORMAN, J. A., MOLLING, C. C. 2007: Water erosion estimation in topographically complex landscapes: Model description and first verifications. Soil Science Society of America Journal 71 (5), pp BOUYOUCUS, G. J. 1936: Directions for making mechanical analysis of soils by the hydrometer method. Soil Science 42, CENTERI, Cs. 2002: The role of vegetation cover in soil erosion on the Tihany Peninsula. Acta Botanica Hungarica 44 (3 4), pp CENTERI, CS., BARTA, K., JAKAB, G., SZALAI, Z., BÍRÓ, Z. 2009: Comparison of EUROSEM, WEPP and MEDRUSH model calculations with measured runoff and soil loss data from rainfall simulations in Hungary. Journal of Plant Nutrition and Soil Science 172 (6), pp CHAVES, H. M. L., NEARING, M. A. 1991: Uncertainty analysis of the WEPP soil erosion model. Transactions of the ASAE 34, pp COTLER, H., ORTEGA-LARROCEA, M. P. 2006: Effects of land use on soil erosion in a tropical dry forest ecosystem, Chamela watershed, Mexico. Catena 65 (2), pp DEER-ASCOUGH, L. A., WEESIES, G. A., ASCOUGH, II J. C., LAFLEN, J. M. 1995: Plant parameter database for erosion prediction models. Applied Engineering in Agriculture of ASAE 11 (5), pp DEMÉNY, K., CENTERI, CS., JAKAB, G. 2010: Soil loss calculations with WEPP and USLE models on a sloping arable land near Isaszeg, Hungary. Proceedings of the 19th World Congress of Soil Science, pp FAO 2006: World reference base for soil resources. A framework for international classification, correlation and communication. World Soil Resources Reports No. 103, Rome, 132 p. (Soil Classification) FLANAGAN, D. C., GILLEY, J. E., FRANTI, T. G. 2007: Water Erosion Prediction Project (WEPP): Development history, model capabilities, and future enhancements. Transactions of the ASABE 50 (5), pp GELENCSÉR, G., CENTERI, CS., JAKAB, G., VONA, M. 2010: Comparison of the results of modeling soil loss with WEPP and USLE in the Koppány Valley, Hungary. Proceedings of the 19th World Congress of Soil Science, pp GOURNELLOS, TH., EVELPIDOU, N., VASSILOPOULOS, A. 2004: Developing an Erosion risk map using soft computing methods (case study at Sifnos island). Natural Hazards 31 (1), pp GRISMER, M. E. 2007: Soil restoration and erosion control: Quantitative assessment and direction. Transactions of the ASABE 50 (5), pp IRVEM, A., TOPALOĐLU, F., UYGUR, V. 2007: Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. Journal of Hydrology 336, pp JAKAB, G., SZALAI, Z. 2005: Erodibility measurements in the Tetves catchment using rainfall simulator. Tájökológiai Lapok (Hungarian Journal of Landscape Ecology), 3 (1), pp (in Hungarian) JORDAN, GY., VAN ROMPAEY, A., SZILASSI, P., CSILLAG, G., MANNAERTS, C., WOLDAI, T. 2005: Historical land use changes and their impact on sediment fluxes in the Balaton basin (Hungary). Agriculture, Ecosystems and Environment 108, pp KIM, I. J., HUTCHINSON, S. L., HUTCHINSON, J. M. S., YOUNG, C. B. 2007: Riparian ecosystem management model: Sensitivity to soil, vegetation, and weather input parameters. Journal of the American Water Resources Association 43 (5), pp LAROSE, M., OROPEZA-MOTA, J. L., NORTON, D., TURRENT- FERNÁNDEZ, A., MARTÍNEZ-MENES, M., PEDRAZA-OROPEZA, J. A., FRANCISCO-NICOLÁS, N. 2004: Application of the WEPP model to hillside lands in the Tuxtlas, Veracruz, México. Agrociencia 38, pp LIU, B. Y., NEARING, M. A., SHI, P. J., JIA, Z. W. 2000: Slope Length Effects on Soil Loss for Steep Slopes. Soil Science Society of America Journal 64, pp MOFFET, C. A., PIERSON, F. B., ROBICHAUD, P. R., SPAETH, K. E., HARDEGREE S. P. 2007: Modeling soil erosion on steep
10 140 CSABA CENTERI et al. sagebrush rangeland before and after prescribed fire. Catena 71 (2), pp PANDEY, A., CHOWDAY, V. M., MAL, B. C., BILLIB, M. 2008: Runoff and sediment yield modeling from a small agricultural watershed in India using the WEPP model. Journal of Hydrology 348, pp RISSE, L. M., NEARING, M. A., SAVABI, M. R. 1994: Determining the Green and Ampt effective hydraulic conductivity from rainfall-runoff data for the WEPP model. Transactions of the ASAE 37, pp SHEN, Z. Y., GONG, Y. W., LI, Y. H., HONG, Q., XU, L., LIU, R. M. 2009: A comparison of WEPP and SWAT for modeling soil erosion of the Zhangjiachong Watershed in the Three Gorges Reservoir Area. Agricultural Water Management 96, pp SZILASSI, P., JORDAN, G., VAN ROMPAEY, A., CSILLAG, G. 2006: Impacts of historical land use changes on erosion and agricultural soil properties in the Kali Basin at Lake Balaton, Hungary. Catena 68 (3), pp VEIHE, A., REY, J., QUINTON, J. N., STRAUSS, P., SANCHO, F. M., SOMARRIBA, M. 2001: Modeling of event-based soil erosion in Costa Rica, Nicaragua and Mexico: evaluation of the EUROSEM model. Catena 44 (3), pp WALKLEY, J. 1947: A critical examination of rapid method for determining organic carbon in soils. Soil Science 63, pp WISCHMEIER, W. H., SMITH, D. D. 1978: Predicting rainfall erosion losses: A guide to conservation planning. U.S. Department of Agriculture. Handbook no. 537., 85 p.
WEPP MODEL APPLICATIONS FOR EVALUATIONS OF BEST MANAGEMENT PRACTICES
WEPP MODEL APPLICATIONS FOR EVALUATIONS OF BEST MANAGEMENT PRACTICES D.C. FLANAGAN 1, W.J. ELLIOT 2, J.R. FRANKENBERGER 3, C. HUANG 4 1 USDA-Agricultural Research Service, National Soil Erosion Research
More informationThe effect of soil erosion on ecosystem services
The effect of soil erosion on ecosystem services Ádám Kertész Adrienn Tóth Melinda Pálinkás Hungarian Academy of Sciences Research Centre for Astronomy and Earth Sciences Geographical Institute H-1112
More informationFlash Flood Science. Chapter 2. What Is in This Chapter? Flash Flood Processes
Chapter 2 Flash Flood Science A flash flood is generally defined as a rapid onset flood of short duration with a relatively high peak discharge (World Meteorological Organization). The American Meteorological
More informationWEATHERING, EROSION, AND DEPOSITION PRACTICE TEST. Which graph best shows the relative stream velocities across the stream from A to B?
NAME DATE WEATHERING, EROSION, AND DEPOSITION PRACTICE TEST 1. The diagram below shows a meandering stream. Measurements of stream velocity were taken along straight line AB. Which graph best shows the
More informationMeasuring and monitoring soil erosion for soil conservation and soil protection in Israel
Measuring and monitoring soil erosion for soil conservation and soil protection in Israel Yoram Benyamini Ministry of Agriculture (SERS), Israel / University of Amsterdam, Netherlands benyamin@science.uva.nl
More informationUniversal Soil Erosion Equation
Author: Laura Swantek Time: 50 minute class period Grade Level: 9-12 Background: Soil is created by the weathering of rock and the decomposition of organic materials. Soils are classified according to
More informationFROM: Soilwater Group PROJECT TITLE: Yeelirrie Uranium Project MCP DATE: 19/06/2015 PROJECT & DOCUMENT NO: CAM-003-1-13 003
SOILWATER CONSULTANTS t: +61 08 9228 3060 f: +61 08 9228 3210 a: 45 Gladstone St, East Perth, WA 6004 e: admin@soilwatergroup.com w: www.soilwatergroup.com MEMO COMPANY: Cameco Australia Pty Ltd FROM:
More informationA SOIL TESTING SERVICE FOR FARMERS IN THAILAND, USING MOBILE LABORATORIES
A SOIL TESTING SERVICE FOR FARMERS IN THAILAND, USING MOBILE LABORATORIES Narong Chinabut Office of Science for Land Development Land Development Department, Ministry of Agriculture and Cooperatives, Bangkok
More informationClimate, Vegetation, and Landforms
Climate, Vegetation, and Landforms Definitions Climate is the average weather of a place over many years Geographers discuss five broad types of climates Moderate, dry, tropical, continental, polar Vegetation:
More informationDEVELOPMENT OF WEB-BASED GIS INTERFACES FOR APPLICATION OF THE WEPP MODEL
DEVELOPMENT OF WEB-BASED GIS INTERFACES FOR APPLICATION OF THE WEPP MODEL D.C. Flanagan A, J.R. Frankenberger A, C.S. Renschler B and B.A. Engel C A National Soil Erosion Research Laboratory, USDA-ARS,
More informationTennessee Watershed Modeling Tools. Southern Region Watershed Meeting, July 2005. Forbes Walker University of Tennessee Extension
Tennessee Watershed Modeling Tools Southern Region Watershed Meeting, July 2005 Forbes Walker University of Tennessee Extension Outline Land Use and Water Quality in Tennessee Watershed models Watershed
More informationGEOLOGY AND GEOMORPHOLOGY Level. bachelor Semester. winter ECTS 9
GEOLOGY AND GEOMORPHOLOGY ECTS 9 The subject includes knowledge of the construction of the Earth and the natural processes occurring deeply inside and on the surface of the Earth. It contains characteristics
More informationWeb-based GIS Application of the WEPP Model
Web-based GIS Application of the WEPP Model Dennis C. Flanagan Research Agricultural Engineer USDA - Agricultural Research Service National Soil Erosion Research Laboratory West Lafayette, Indiana, USA
More informationBasic Soil Erosion and Types
Basic Soil Erosion and Types 2015 Wisconsin Lakes Convention Stacy Dehne DATCP Engineer Types of Soil Erosion Rain drop or splash erosion: Erosion preceded by the destruction of the crumb structure due
More informationSOIL EROSION FROM MODELLING TO MITIGATION: CAN CONSERVATION AGRICULTURE BE A SOLUTION?
SOIL EROSION FROM MODELLING TO MITIGATION: CAN CONSERVATION AGRICULTURE BE A SOLUTION? Giampaolo Sarno - Regione Emilia-Romagna D.G. Agriculture Francesca Staffilani - Regione Emilia-Romagna D.G. Environment
More informationTasks. The NAU watershed modeling team will meet to do the primary forum for researching the
Tasks Task 1 Project Management 1.1 Group Meeting The NAU watershed modeling team will meet to do the primary forum for researching the project early in the semester. For the rest of spring semester 2013,
More informationTHE ECOSYSTEM - Biomes
Biomes The Ecosystem - Biomes Side 2 THE ECOSYSTEM - Biomes By the end of this topic you should be able to:- SYLLABUS STATEMENT ASSESSMENT STATEMENT CHECK NOTES 2.4 BIOMES 2.4.1 Define the term biome.
More informationHYDROLOGICAL CYCLE Vol. I - Anthropogenic Effects on the Hydrological Cycle - I.A. Shiklomanov ANTHROPOGENIC EFFECTS ON THE HYDROLOGICAL CYCLE
ANTHROPOGENIC EFFECTS ON THE HYDROLOGICAL CYCLE I.A. Shiklomanov Director, State Hydrological Institute, St. Petersburg, Russia Keywords: hydrological cycle, anthropogenic factors, afforestation, land
More informationEnvironmental Outcomes of Conservation Agriculture in North Italy
Environmental Outcomes of Conservation Agriculture in North Italy Stefano Brenna ERSAF Regional Agency for Agriculture and Forests of Lombardy (Italy) 6th World Congress on Conservation Agriculture Winnipeg,
More informationCreate Your Own Soil Profile Ac5vity
Create Your Own Soil Profile Ac5vity Middle School: 5-8 Task Overview: Soil profile refers to layers of soil. A typical soil profile takes nearly 1,000 to 100,000 years to form. The formation of the soil
More informationHow To Assess An Area For Erosion
SKY BASIN (UPPER CA 1 WATERSHED) EROSION ASSESSMENT Prepared by Kevin Drake, CPESC Integrated Environmental Restoration Services, Inc. August 2014 COMMON GROUND UNCOMMON SOLUTIONS P.O. BOX 7559 2780 LAKE
More informationEarth Science. River Systems and Landforms GEOGRAPHY 1710. The Hydrologic Cycle. Introduction. Running Water. Chapter 14.
Earth Science GEOGRAPHY 1710 River Systems and Landforms DAVID R. SALLEE Robert W. Christopherson Charlie Thomsen Chapter 14 Introduction Rivers and streams are dynamic systems that continually adjust
More informationEcosystems. The two main ecosystem processes: Energy flow and Chemical cycling
Ecosystems THE REALM OF ECOLOGY Biosphere An island ecosystem A desert spring ecosystem Biosphere Ecosystem Ecology: Interactions between the species in a given habitat and their physical environment.
More informationHydrological and Material Cycle Simulation in Lake Biwa Basin Coupling Models about Land, Lake Flow, and Lake Ecosystem
Sengupta, M. and Dalwani, R. (Editors). 2008. Proceedings of Taal2007: The 12 th World Lake Conference: 819-823 Hydrological and Material Cycle Simulation in Lake Biwa Basin Coupling Models about Land,
More informationDeserts, Wind Erosion and Deposition
Deserts, Wind Erosion and Deposition By definition, a desert has less than 10 in (25 cm) of precipitation per year. Deserts occur at 30 o and 60 o in regions of descending air. Deserts can be hot or cold.
More informationAn innovative approach to Floods and Fire Risk Assessment and Management: the FLIRE Project
8 th International Conference of EWRA Water Resources Management in an Interdisciplinary and Changing Context 26-29 June 2013, Porto, Portugal An innovative approach to Floods and Fire Risk Assessment
More informationGeologic History Review
1. The climate that existed in an area during the early Paleozoic Era can best be determined by studying (1) the present climate of the area (2) recorded climate data of the area since 1700 (3) present
More informationIncreasing water availability through juniper control.
Tim Deboodt, OSU Crook County Extension Agent 498 SE Lynn Blvd. Prineville, OR 97754 541-447-6228 Tim.deboodt@oregonstate.edu Increasing water availability through juniper control. Throughout the region
More information1.7.0 Floodplain Modification Criteria
1.7.0 Floodplain Modification Criteria 1.7.1 Introduction These guidelines set out standards for evaluating and processing proposed modifications of the 100- year floodplain with the following objectives:
More informationRemote Sensing and GIS Application In Change Detection Study In Urban Zone Using Multi Temporal Satellite
Remote Sensing and GIS Application In Change Detection Study In Urban Zone Using Multi Temporal Satellite R.Manonmani, G.Mary Divya Suganya Institute of Remote Sensing, Anna University, Chennai 600 025
More informationMulti-scale upscaling approaches of soil properties from soil monitoring data
local scale landscape scale forest stand/ site level (management unit) Multi-scale upscaling approaches of soil properties from soil monitoring data sampling plot level Motivation: The Need for Regionalization
More informationWATER AND DEVELOPMENT Vol. II - Types Of Environmental Models - R. A. Letcher and A. J. Jakeman
TYPES OF ENVIRONMENTAL MODELS R. A. Letcher and A. J. Jakeman Centre for Resource and Environmental Studies, The Australian National University, Australia Keywords: environmental models, environmental
More informationWATER EROSION PREDICTION PROJECT (WEPP): DEVELOPMENT HISTORY, MODEL CAPABILITIES,
WATER EROSION PREDICTION PROJECT (WEPP): DEVELOPMENT HISTORY, MODEL CAPABILITIES, AND FUTURE ENHANCEMENTS D. C. Flanagan, J. E. Gilley, T. G. Franti ABSTRACT. The Water Erosion Prediction Project (WEPP)
More informationWEATHERING, EROSION, and DEPOSITION REVIEW
WEATHERING, EROSION, and DEPOSITION REVIEW Weathering: The breaking up of rock from large particles to smaller particles. a) This Increases surface area of the rock which speeds the rate of chemical weathering.
More informationGeorgia Performance Standards Framework for Science Grade 6. Unit Organizer: Water in Earth s Processes. (Approximate Time: 5-6 Weeks)
The following instructional plan is part of a GaDOE collection of Unit Frameworks, Performance Tasks, examples of Student Work, and Teacher Commentary. Many more GaDOE approved instructional plans are
More informationAbaya-Chamo Lakes Physical and Water Resources Characteristics, including Scenarios and Impacts
LARS 2007 Catchment and Lake Research Abaya-Chamo Lakes Physical and Water Resources Characteristics, including Scenarios and Impacts Seleshi Bekele Awulachew International Water Management Institute Introduction
More informationAPPLICATION OF GEOSPATIAL TECHNOLOGIES FOR SUSTAINABLE ENVIRONMENTAL MANAGEMENT
APPLICATION OF GEOSPATIAL TECHNOLOGIES FOR SUSTAINABLE NATURAL RESOURCES AND ENVIRONMENTAL MANAGEMENT IN MALAYSIA By James Dawos Mamit, Ph.D. Deputy Minister Ministry of Natural Resources and Environment,
More informationCharles A. Young, Ph.D.
Charles A Young Senior Scientist Stockholm Environment Institute - Davis 133 D Street, Suite F Davis, CA 95616 Tel. +1 (530) 753-3035 cyoung@sei-us.org Charles A. Young, Ph.D. Professional Summary Charles
More informationCOMPREHENSIVE PLAN SECTION B, ELEMENT 4 WATER RESOURCES. April 20, 2010 EXHIBIT 1
COMPREHENSIVE PLAN SECTION B, ELEMENT 4 WATER RESOURCES April 20, 2010 EXHIBIT 1 ELEMENT 4 WATER RESOURCES TABLE OF CONTENTS 4.1 INTRODUCTION 4.2 GOALS AND POLICIES 4.2.A General Goals and Policies 1 4.2.B
More informationA Developer s Guide: Watershed-Wise Development
A Developer s Guide: Watershed-Wise Development Environmental Protection What is a watershed? It does not matter how far away you build from a creek, lake, or the ocean, you are in a watershed. Another
More informationLecture Series in Water, Soil and Atmosphere (315.340) Unit 1: Interaction Soil / Vegetation / Atmosphere
Dept. Water, Soil & Atmosphere Institute of Hydraulics and Rural Water Management University of Natural Resources and Life Sciences Vienna Lecture Series in Water, Soil and Atmosphere (315.340) Unit 1:
More informationAll sediments have a source or provenance, a place or number of places of origin where they were produced.
Sedimentary Rocks, Processes, and Environments Sediments are loose grains and chemical residues of earth materials, which include things such as rock fragments, mineral grains, part of plants or animals,
More informationSoCo: European Overview on soil degradation processes related to agriculture
SoCo Policy Seminar, Brussels, 28 May 2009 1 SoCo: European Overview on soil degradation processes related to agriculture by E. Rusco, L. Montanarella, B. Marechal JRC IES Land management and Natural Hazards
More informationPERSONNEL INFORMATION EDUCATION INFORMATION. Faculty of Agriculture, Department of Soil Science-1991
PERSONNEL INFORMATION Name Surname Title Dr. Gülay YILMAZ Agricultural Engineer (PhD) Telephone 0 232 83110 52 /325 E-mail Date of birth / Place gulay.yilmaz@gthb.gov.tr 12.01.1969 - Sandıklı PhD. MSc.
More informationFigure 1.1 The Sandveld area and the Verlorenvlei Catchment - 2 -
Figure 1.1 The Sandveld area and the Verlorenvlei Catchment - 2 - Figure 1.2 Homogenous farming areas in the Verlorenvlei catchment - 3 - - 18 - CHAPTER 3: METHODS 3.1. STUDY AREA The study area, namely
More informationCatchment Scale Processes and River Restoration. Dr Jenny Mant Jenny@therrc.co.uk. The River Restoration Centre therrc.co.uk
Catchment Scale Processes and River Restoration Dr Jenny Mant Jenny@therrc.co.uk The River Restoration Centre therrc.co.uk 3 Main Catchment Elements Hydrology Energy associated with the flow of water affects
More informationSediment Supply and the Upland-Stream Connection. Brian Bledsoe Department of Civil and Environmental Engineering Colorado State University
Sediment Supply and the Upland-Stream Connection Brian Bledsoe Department of Civil and Environmental Engineering Colorado State University Overview The sediment system (with an eye towards hillslope processes
More informationAZ EGER-PATAK HIDROLÓGIAI VIZSGÁLATA, A FELSZÍNI VÍZKÉSZLETEK VÁRHATÓ VÁLTOZÁSÁBÓL ADÓDÓ MÓDOSULÁSOK AZ ÉGHAJLATVÁLTOZÁS HATÁSÁRA
AZ EGER-PATAK HIDROLÓGIAI VIZSGÁLATA, A FELSZÍNI VÍZKÉSZLETEK VÁRHATÓ VÁLTOZÁSÁBÓL ADÓDÓ MÓDOSULÁSOK AZ ÉGHAJLATVÁLTOZÁS HATÁSÁRA GÁBOR KEVE 1, GÉZA HAJNAL 2, KATALIN BENE 3, PÉTER TORMA 4 EXTRAPOLATING
More informationThe concepts developed in this standard include the following: Oceans cover about 70% of the surface of the Earth.
Name Date Grade 5 SOL 5.6 Review Oceans Made by SOLpass - www.solpass.org solpass100@comcast.net Reproduction is permitted for SOLpass subscribers only. The concepts developed in this standard include
More informationApplying MIKE SHE to define the influence of rewetting on floods in Flanders
Applying MIKE SHE to define the influence of rewetting on floods in Flanders MARK HENRY RUBARENZYA 1, PATRICK WILLEMS 2, JEAN BERLAMONT 3, & JAN FEYEN 4 1,2,3 Hydraulics Laboratory, Department of Civil
More information2 Wind Erosion and Deposition
CHAPTER 3 2 Wind Erosion and Deposition SECTION Agents of Erosion and Deposition BEFORE YOU READ After you read this section, you should be able to answer these questions: How can wind erosion shape the
More informationFOREST RESTORATION MONITORING TOOL
FOREST RESTORATION MONITORING TOOL Draft version for field test INTRODUCTION FAO upon recommendation of its members identified the need to initiate a comprehensive analysis, evaluation and documentation
More informationWhat are the controls for calcium carbonate distribution in marine sediments?
Lecture 14 Marine Sediments (1) The CCD is: (a) the depth at which no carbonate secreting organisms can live (b) the depth at which seawater is supersaturated with respect to calcite (c) the depth at which
More informationApplication of Invest`s Sedimentation Retention model for restoration benefits forecast at Cantareira Water Supply System
Application of Invest`s Sedimentation Retention model for restoration benefits forecast at Cantareira Water Supply System Introduction Healthy forests regulate water flows, protect watercourses and maintain
More informationCourse Plan Day 1: Introduction and Overview Hydrology & Fluvial Geomorphology Day 2: Fieldwork on the Braid Burn Alan Jones
Course Plan Day 1: Introduction and Overview Hydrology & Fluvial Geomorphology Alan Jones E:mail: Alan.Jones@ed.ac.uk Water cycle Globally & Locally River shapes and forms River behaviour Closer look at
More informationGLACier-fed rivers, HYDRoECOlogy and climate change; NETwork of monitoring sites (GLAC-HYDRECO-NET).
Arctic Observing Summit 2013 Statement Glacier-fed rivers GLACier-fed rivers, HYDRoECOlogy and climate change; NETwork of monitoring sites (GLAC-HYDRECO-NET). Alexander Milner, School of Geography, Earth
More informationAgroforestry and climate change. Emmanuel Torquebiau FAO webinar 5 February 2013
Agroforestry and climate change Emmanuel Torquebiau FAO webinar 5 February 2013 Agroforestry: well-known buffering and resilience effects Climate variability is well buffered by agroforestry because of
More informationEcosystems One or more communities in an area and the abiotic factors, including water, sunlight, oxygen, temperature, and soil.
7-4.1 Summarize the characteristics of the levels of organization within ecosystems (including populations, communities, habitats, niches, and biomes). Taxonomy level: 2.4-B Understand Conceptual Knowledge
More informationGlobal Water Resources
Global Water Resources Highlights from assessment activities over the past two decades, which are used to establish present and future water trends, reveal that: 1. Freshwater resources are unevenly distributed,
More informationBeasley Lake Watershed National Sedimentation Laboratory Water Quality & Ecology Research Unit USDA ARS Oxford, Mississippi
Beasley Lake Watershed National Sedimentation Laboratory Water Quality & Ecology Research Unit USDA ARS Oxford, Mississippi M. A. Locke, S. S. Knight, C. M. Cooper, S. Smith, Jr., M. T. Moore, F. D. Shields,
More informationLEARNING THE LANDFORMS Grade Level: Third Presented by: Elizabeth Turcott, Endeavor Charter Academy, Springfield, Michigan Length of Unit: 14 lessons
LEARNING THE LANDFORMS Grade Level: Third Presented by: Elizabeth Turcott, Endeavor Charter Academy, Springfield, Michigan Length of Unit: 14 lessons I. ABSTRACT This unit develops an understanding of
More information5-Minute Refresher: WEATHERING AND EROSION
5-Minute Refresher: WEATHERING AND EROSION Weathering and Erosion Key Ideas Weathering is the wearing away of the surface of rock, soil, and minerals into smaller pieces. Example of weathering: Wind and
More informationRural Flooding: The Potential Role of Forestry
Rural Flooding: The Potential Role of Forestry Nadeem Shah, Tom Nisbet, & Huw Thomas Centre for Forestry and Climate Change Structure Background Woodland and Flood Alleviation The Theory. Studies on Woodland
More informationBayesian Modeling of Ecosystem Services in Human-Environment Systems
Bayesian Modeling of in Human-Environment Systems Thomas Koellner1 and Adrienne Grêt-Regamey2 1Department of Environmental Sciences, Natural and Social Science Interface NSSI, ETH Zurich, Switzerland 2
More informationTHE NATURAL RESOURCES AND ENVIRONMENT ORDINANCE (CAP. 84 - LAWS OF SARAWAK, 1958 Ed.)
THE NATURAL RESOURCES AND ENVIRONMENT ORDINANCE (CAP. 84 - LAWS OF SARAWAK, 1958 Ed.) THE NATURAL RESOURCES AND ENVIRONMENT (PRESCRIBED ACTIVITIES) ORDER, 1994 (Made under section 11A(1)) (Incorporating
More informationLOW INTEREST LOANS FOR AGRICULTURAL CONSERVATION
LOW INTEREST LOANS FOR AGRICULTURAL CONSERVATION LILAC MANUAL LOW INTEREST LOANS FOR AGRICULTURAL CONSERVATION TABLE OF CONTENTS Introduction... 3 General Eligibility... 4 Specific Eligibility Criteria
More informationSedimentary Rocks, Depositional Environments and Stratigraphy
Sedimentary Rocks, Depositional Environments and Stratigraphy The Nature of Sedimentary Rocks Sedimentary rocks are composed of: Fragments of other rocks (detrital or clastic) Chemical precipitates Organic
More informationCollege of Science and Health ENVIRONMENTAL SCIENCE & GEOGRAPHY Course Outline
College of Science and Health ENVIRONMENTAL SCIENCE & GEOGRAPHY Course Outline 1. TITLE OF COURSE AND COURSE NUMBER: General Geology ENV 115, 4 credits 2. DESCRIPTION OF THE COURSE: Includes the study
More informationThe Development of Soil Survey and Soil Mapping in China
The Development of Soil Survey and Soil Mapping in China Gan-Lin Zhang, Zi-Tong Gong State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing
More informationSoil Survey and Monitoring in Cyprus
Soil Survey and Monitoring in Cyprus Costas Hadjiparaskevas Department of Agriculture (Soil and Water Use Sector), Ministry of Agriculture, Natural Resources & Environment, CYPRUS, dagrwuse@cytanet.com.cy
More informationWILLOCHRA BASIN GROUNDWATER STATUS REPORT 2009-10
WILLOCHRA BASIN GROUNDWATER STATUS REPORT 2009-10 SUMMARY 2009-10 The Willochra Basin is situated in the southern Flinders Ranges in the Mid-North of South Australia, approximately 50 km east of Port Augusta
More informationMountainous forest watershed management Governance in Greece
Mountainous forest watershed management Governance in Greece Katerina Koutla Forester Ministry of Environment, Energy and Climate Change Alcala de Henares, 28 29 January 2014 Central Forest Service Ministry
More information4.2 Buena Vista Creek Watershed
Buena Vista Creek Watershed 4.2 Buena Vista Creek Watershed Watershed Overview The Buena Vista Creek Watershed is the fourth-largest system within the Carlsbad Hydrologic Unit. The watershed extends approximately
More informationPhysiography, Geography and Climate of Latin America (Lecture 3)
Physiography, Geography and Climate of Latin America (Lecture 3) Natural Landmarks in Latin America World's longest and second highest mountain range, and the world's highest active volcanoes. Biggest
More informationFlood Zone Investigation by using Satellite and Aerial Imagery
Flood Zone Investigation by using Satellite and Aerial Imagery Younes Daneshbod Islamic Azad University-Arsanjan branch Daneshgah Boulevard, Islamid Azad University, Arsnjan, Iran Email: daneshbod@gmail.com
More informationThe Next Generation Science Standards (NGSS) Correlation to. EarthComm, Second Edition. Project-Based Space and Earth System Science
The Next Generation Science Standards (NGSS) Achieve, Inc. on behalf of the twenty-six states and partners that collaborated on the NGSS Copyright 2013 Achieve, Inc. All rights reserved. Correlation to,
More informationJOB DESCRIPTION. GS-11 $46,006 - $59,801 Annual/Full Benefits GS-12 $55,138 - $71,679 Annual/Full Benefits
OPEN: CLOSE: OR UNTIL FILLED EXEMPT NON-EXEMPT_X_ JOB DESCRIPTION POSITION: RESPONSIBLE TO: SALARY: FLUVIAL GEOMORPHOLOGIST Senior Aquatics Biologist GS-11 $46,006 - $59,801 Annual/Full Benefits GS-12
More informationLAND USE, LAND COVER AND SOIL SCIENCES - Vol. IV - Soil Conservation - David Sanders UNESCO EOLSS
SOIL CONSERVATION David Sanders World Association of Soil and Water Conservation, Bristol, England,UK Keywords: soil conservation, soil erosion, wind erosion, water erosion, erosion control Contents 1.
More informationFRONT RANGE WATERSHED PROTECTION DATA REFINEMENT WORK GROUP
FRON RANGE WAERSHED PROECION DAA REFINEMEN WORK GROUP PROECING CRIICAL WAERSHEDS IN COLORADO FROM WILDFIRE: A ECHNICAL APPROACH O WAERSHED ASSESSMEN AND PRIORIIZAION EXECUIVE SUMMARY FEBRUARY 2009 PROECING
More informationdefined largely by regional variations in climate
1 Physical Environment: Climate and Biomes EVPP 110 Lecture Instructor: Dr. Largen Fall 2003 2 Climate and Biomes Ecosystem concept physical and biological components of environment are considered as single,
More informationRainfall Intensities for Southeastern Arizona
Rainfall Intensities for Southeastern Arizona By Herbert B. Osborn, Member, ASCE1 and Kenneth G. Renard, Fellow, ASCE1 Introduction Small watershed storm runoff in the southwestern United States is dominated
More informationPotential Erosion Map For Bagmati Basin Using GRASS GIS
Proceedings of the Open source GIS - GRASS users conference 2002 - Trento, Italy, 11-13 September 2002 Potential Erosion Map For Bagmati Basin Using GRASS GIS Jha Raghunath Department of Civil Engineering,
More informationOptimizing the hydraulic designing of pressurized irrigation network on the lands of village Era by using the computerized model WaterGems
Optimizing the hydraulic designing of pressurized irrigation network on the lands of village Era by using the computerized model WaterGems Ali Ghadami Firouzabadi 1 and Majid Arabfard 2 1. Ali Ghadami
More informationTANZANIA. The land area of Tanzania is about 1 million square kilometres. This includes the offshore islands of Zanzibar, Pemba and Mafia.
TANZANIA 1. INTRODUCTION 1.1 THE COUNTRY Tanzania lies on the East Coast of Africa between 1 O and 11 O S latitude and between 29o and 40 o E Longitude. It is bordered by Kenya in the North and shares
More informationSUSTAINABLE URBAN DRAINAGE SYSTEMS
overflow can lead into a permeable conveyance system to increase further the benefit and reduce the need for pipe systems. Pollutant removal rates have been shown to be high, with some pollutants being
More informationAN INVESTIGATION OF THE GROWTH TYPES OF VEGETATION IN THE BÜKK MOUNTAINS BY THE COMPARISON OF DIGITAL SURFACE MODELS Z. ZBORAY AND E.
ACTA CLIMATOLOGICA ET CHOROLOGICA Universitatis Szegediensis, Tom. 38-39, 2005, 163-169. AN INVESTIGATION OF THE GROWTH TYPES OF VEGETATION IN THE BÜKK MOUNTAINS BY THE COMPARISON OF DIGITAL SURFACE MODELS
More informationMissouri Regions Shaped by Land Forms and Geology
Missouri Regions Shaped by Land Forms and Geology Lesson Abstract Summary: MO GLE: Subject Areas: The students will use various resources to compare and contrast the geology of each Missouri region to
More informationA.F. Mandych Department of Physical Geography and Land Use, Institute of Geography, Moscow, Russia
FLOODS AND SOIL EROSION A.F. Mandych Department of Physical Geography and Land Use, Institute of Geography, Moscow, Russia Keywords: arroyo, erosion, flood, gully, ravine, rill, sheet erosion. Contents
More informationDomestic Policy Framework on Adaptation to Climate Change in Water Resources: Case Study for India. Working Together to Respond to Climate Change
Domestic Policy Framework on Adaptation to Climate Change in Water Resources: Case Study for India Working Together to Respond to Climate Change WATER ACCOUNTING OF INDIA S TOTAL WATER RESOURCES Unutilizable
More informationROSE CREEK WATERSHED HYDROLOGIC, HYDRAULIC, SEDIMENT TRANSPORT, AND GEOMORPHIC ANALYSES TASK 1 EXISTING DATA AND INFORMATION SUMMARY REPORT BACKGROUND
ROSE CREEK WATERSHED HYDROLOGIC, HYDRAULIC, SEDIMENT TRANSPORT, AND GEOMORPHIC ANALYSES TASK 1 EXISTING DATA AND INFORMATION SUMMARY REPORT BACKGROUND The Rose Creek Watershed (RCW) consists of three planning
More informationSlope Angle and Slope Length Solutions for GIS
This paper was published in the journal Cartography Visit http://www.mappingsciences.org.au/journal.htm for more information. Full reference: Hickey, R., 2000, Slope Angle and Slope Length Solutions for
More informationThe Water Cycle Now You See It, Now You Don t
The Water Cycle Now You See It, Now You Don t Unit: Salinity Patterns & the Water Cycle l Grade Level: Elementary l Time Required: Introduction - 30 min. - Activity as groups 45min Wrap Up 20 min l Content
More informationWeathering, Erosion, and Soils. Weathering and Erosion. Weathering and Erosion
Weathering, Erosion, and Soils 1 The Grand Canyon, a landscape shaped by weathering and erosion 2 Weathering vs. erosion Types of weathering Physical Chemical Rates of weathering and erosion Climate Rock
More informationAppendix J Online Questionnaire
Appendix J Online Questionnaire In accordance with the Paperwork Reduction Act, this questionnaire was approved by the Office of Management and Budget (OMB). The OMB control number and expiration date
More informationGLOSSARY OF TERMS CHAPTER 11 WORD DEFINITION SOURCE. Leopold
CHAPTER 11 GLOSSARY OF TERMS Active Channel The channel that contains the discharge Leopold where channel maintenance is most effective, sediment are actively transported and deposited, and that are capable
More informationNATURAL REGIONS OF KENTUCKY
NATURAL WONDERS As you travel around Kentucky taking pictures, you are excited by what you see. Kentucky offers diverse and amazing sights. The Six Regions In the West, you see the Mississippi River, the
More informationWeb Based GIS Consulting Portal with Crop-Land Suitability
Web Based GIS Consulting Portal with Crop-Land Suitability P.K.S.C. Jayasinghe a, Takemi Machida b a Ibaraki University, Ibaraki prefecture, Japan, subashjp@yahoo.com, b Ibaraki University, Ibaraki prefecture,
More informationScheduling Maintenance for Infiltration Basins and Trenches
Visual Inspection for Infiltration Practices Visual inspection is a rapid assessment procedure for qualitatively evaluating the functionality of a stormwater best management practice (BMP). Visual inspections
More informationRange Management Databases on the Web: Two Examples
Range Management Databases on the Web: Two Examples George Ruyle, Chair, Rangeland & Forest Research Program, School of Renewable Natural Resources, Biological Sciences East 302, University of Arizona,
More informationAPPLICATION PROCESS FOR LAND DISTURBING PERMIT
PREFACE: APPLICATION PROCESS FOR LAND DISTURBING PERMIT The property owner, developer and designated planners and engineers shall review the general development plans and detailed plans of the Local Issuing
More information